compute

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Compute a lazy tbl.

compute forces computation of lazy tbls, leaving data in the remote source. collect also forces computation, but will bring data back into an R data.frame (stored in a tbl_df). collapse doesn't force computation, but collapses a complex tbl into a form that additional restrictions can be placed on.

Usage
compute(x, name = random_table_name(), ...)

collect(x, ...)

collapse(x, ...)

# S3 method for tbl_sql compute(x, name = random_table_name(), temporary = TRUE, ...)

Arguments
x
a data tbl
name
name of temporary table on database.
...
other arguments passed on to methods
temporary
if TRUE, will create a temporary table that is local to this connection and will be automatically deleted when the connection expires
Grouping

compute and collect preserve grouping, collapse drops it.

See Also

copy_to which is the conceptual opposite: it takes a local data frame and makes it available to the remote source.

Aliases
  • collapse
  • collect
  • compute
  • compute.tbl_sql
Examples
if (require("RSQLite") && has_lahman("sqlite")) {
  batting <- tbl(lahman_sqlite(), "Batting")
  remote <- select(filter(batting, yearID > 2010 && stint == 1), playerID:H)
  remote2 <- collapse(remote)
  cached <- compute(remote)
  local  <- collect(remote)
}
Documentation reproduced from package dplyr, version 0.3, License: MIT + file LICENSE

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